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Merge pull request #25739 from alexlyulkov:al/openvino2022-fixed-blank
Fixed blank layer for OpenVINO 2022.1 #25739 Changed blank layer because it didn't work with old OpenVINO versions(2022.1). The blank layer was implemented using ConvertLike layer, now it is implemented using ShapeOf and Reshape layers. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
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@ -161,7 +161,11 @@ public:
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const std::vector<Ptr<BackendNode> >& nodes) CV_OVERRIDE
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{
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auto ieInpNode = nodes[0].dynamicCast<InfEngineNgraphNode>()->node;
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auto blank = std::make_shared<ov::op::v1::ConvertLike>(ieInpNode, ieInpNode);
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// We use Reshape as blank layer.
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// Previously, we used Concat layer, but it didn't work with scalar tensor.
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// Also we used ConvertLike layer, but it did't work with old OpenVINO versions.
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auto shape = std::make_shared<ov::op::v0::ShapeOf>(ieInpNode);
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auto blank = std::make_shared<ov::op::v1::Reshape>(ieInpNode, shape, false);
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return Ptr<BackendNode>(new InfEngineNgraphNode(blank));
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}
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#endif // HAVE_DNN_NGRAPH
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